Triple
T18056391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Replacements |
E432048
|
entity |
| Predicate | fictionalLeague |
P129655
|
FINISHED |
| Object | professional American football league |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: professional American football league | Statement: [The Replacements, fictionalLeague, professional American football league]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalLeague Context triple: [The Replacements, fictionalLeague, professional American football league]
-
A.
fictionalTeam
Indicates that the related entities are members of, or otherwise associated with, the same fictional team within a narrative or imaginary context.
-
B.
portraysFictionalTeam
Indicates that one entity depicts or represents a fictional team within a work or medium.
-
C.
fictionalPlayer
Indicates that the referenced player entity is imaginary or does not exist in the real world, but is instead part of a fictional or simulated context.
-
D.
formerLeague
Indicates that an entity previously belonged to or participated in a particular league but is no longer a member.
-
E.
featuresFictionalSport
Indicates that a work includes or showcases a fictional sport as part of its content or setting.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c102d08081908d2419c898213400 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:26 a.m.